EE 282A - Reinforcement Learning for Multi-Robot Networks

3 unit(s)
Focus on decentralized multi-robot networks. Deep Q-Learning is applied to robot planning problems followed by strategies for reducing training complexity. Ad-hoc networking protocols are studied for inter-agent coordination, along with simulations of multi-robot tracking.

Prerequisite(s): EE 250.
Grading: Letter Graded

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